4 papers
The power of dynamic social networks to predict individuals' mental health
Shikang Liu, David Hachen, Omar Lizardo +3
Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…
Heterogeneous network approach to predict individuals' mental health
Shikang Liu, Fatemeh Vahedian, David Hachen +4
Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…
Long-term Compliance Habits: What Early Data Tells Us
Louis Faust, Priscilla Jiménez, David Hachen +3
The rise in popularity of physical activity trackers provides extensive opportunities for research on personal health, however, barriers such as compliance attrition can lead to su…
Predictors of short-term decay of cell phone contacts in a large scale communication network
Troy Raeder, Omar Lizardo, David Hachen +1
Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + Delta(t)? Previous research addressing this issue suggests…